08/28/2026
Correcting an AI draft is not the same as improving the system.
The email gets fixed.
The post gets rewritten.
The recommendation gets adjusted.
Then the same problem returns next week because the reason behind the correction never went anywhere.
Responsible AI adoption turns feedback into operating knowledge.
What was wrong?
Which source or rule should have guided the answer?
Was the issue unique, or should the workflow change?
Who approves that change?
Where is the correction recorded?
Every repeated correction is evidence that someone is still carrying a standard the system has not been taught.
Where do your team's AI corrections go after the immediate draft is fixed?
Build a real feedback loop with Get Desky